Autocorrelation function of the spectral residuals for different lags

The lag is defined from one wavelength center to the next. The red x-axis number gives the average wavelength difference from pixel to pixel over the entire fitting window, multiplied by the lag [nm].

Routine parameters for selected ID

About:

This app visualizes the content of L2Fit files, where the focus is set on the spectral residuals and smoothing polynomials.

Additionally, some scatterplots and other quality indicators are shown to visually check the data quality. Further, spectrometer temperature readings are shown, and if available, the head sensore readings are visualized together with the linear correlation of pressure and temperature.

Usage:

1) Enter a proper path. This app works on a local machine or the PGN server the same way. One only needs to know the server structure. Operational L2Fit files are found under the following paths where X is the pandora ID and Y the spectrometer ID, and the suffix the processing suffix:

- operational 1.7: /srv/blick/data/Location/PandoraXsY/L2Fit

- operational 1.8: /srv/blick/data_18/Location/PandoraXsY/L2Fit

- initial_processing data: /srv/blick/initial_processing/calibration/Location/PandoraXsY/suffix/L2Fit

2) Subset by panID, location, fcode, or date range if wanted.

3) Klick on 'find files' and the dropdown menu will list all available L2Fit files in the defined path.

4) The dropdown menu will list the first 30 files, but it can be used as a search field also. As soon as another file is selected, the file will be read and visualized automatically.

5) With the buttons 'prev file' and 'next file' the user can go to the previous or next file. The previous file of the first file is the last file in the available list, so on can click the files in a circle.

6) The user can select if the unweighted slant column residual or weighted with independent instrumental uncertainty is used.

7) With the buttons 'prev spectra' and 'next spectra' the user can go through the individual measured routines, where in the figures for the spectral residual, the residual ACF, and the smoothing polynomials are changed. All other figures highlight the selected spectra as a red dot within the timeseries or scatterplot.

8) The user can also select a gas, where the gas temperature, slant columns and vertical columns are visualized if it is available in the fitting window

9) Regarding the scatterplots and other quality indicators, the user can filter by the L2Fit quality limits in order to limit the x and y axis accordingly

10) Finally, the user can apply some limits for the plots, which are the temperature range of the selected gas, the time range for timeseries plots, limits for rms and smoothing polynomial

Author:

Manuel Gebetsberger

Manuel.Gebetsberger@luftblick.at